epitaxy
Federal drug shortages and recalls joined to the federal contracts that buy those drugs.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"epitaxy": {
"command": "uvx",
"args": [
"epitaxy-mcp"
]
}
}
}Runnable packages
0.1.4stdioRemote endpoints
https://drugs.crossgrain.xyz/v1/mcpstreamable-httpWhat it can do
Tool inventory
Tools (5)
🟢get_data_freshness
Returns when the data was last activated, how many segments are live, and the state of the last run. Call this first when you need to know whether the data is fresh.
Input Schema
{
"type": "object",
"properties": {}
}🟢list_drug_shortages(status, generic_name, company_id, limit)
Current and resolved US drug shortages as reported by the FDA. Each row carries the generic name, the reporting company and its company_id. Filters: status, generic_name, company_id, limit.
Input Schema
{
"type": "object",
"properties": {
"status": {
"type": "string",
"description": "for example Current or Resolved"
},
"generic_name": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢list_drug_recalls(classification, company_id, limit)
FDA drug recalls and enforcement reports. Filters: classification (Class I, II, III), company_id, limit.
Input Schema
{
"type": "object",
"properties": {
"classification": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢list_federal_drug_contracts(agency, company_id, limit)
US federal contracts for drugs, product service code 6505, from USAspending. Filters: agency, company_id, limit.
Input Schema
{
"type": "object",
"properties": {
"agency": {
"type": "string"
},
"company_id": {
"type": "string"
},
"limit": {
"type": "integer"
}
}
}🟢get_supplier_exposure(award_id, company_id, min_confidence, limit)
The join: a federal contract whose supplier has an FDA shortage or recall. Every row carries company_name, confidence (exact, probable or weak) and match_method. A cross source join is NEVER exact, because FDA and USAspending share no identifier. The claim is: this government supplier has an active FDA shortage or recall. It does NOT claim that this contract delivers that drug. Without a key you get exact and probable matches only, at most 20 rows, without the evidence field.
Input Schema
{
"type": "object",
"properties": {
"award_id": {
"type": "string",
"description": "federal award identifier"
},
"company_id": {
"type": "string"
},
"min_confidence": {
"type": "string",
"enum": [
"probable",
"weak"
],
"description": "weak needs a paid key"
},
"limit": {
"type": "integer"
}
}
}Community
Evidence